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lgvivian2011新蟲 (初入文壇)
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[求助]
幫忙查看是否被EI(JA)檢索 已有1人參與
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| 各位幫幫忙我的一篇論文是否被EI(JA)檢索,名字 Multi-Agent Information Retrieval System |
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lgvivian2011
新蟲 (初入文壇)
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- 專業(yè): 自然語言理解與機(jī)器翻譯
2樓2014-09-19 14:13:37
小凡下山
鐵桿木蟲 (著名寫手)
- 應(yīng)助: 158 (高中生)
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【答案】應(yīng)助回帖
★ ★ ★ ★ ★
感謝參與，應(yīng)助指數(shù) +1
lgvivian2011: 金幣+5, ★有幫助, 不是我的論文看來還沒檢索,再等等吧!不過也謝謝了 2014-09-20 13:18:21
感謝參與，應(yīng)助指數(shù) +1
lgvivian2011: 金幣+5, ★有幫助, 不是我的論文看來還沒檢索,再等等吧!不過也謝謝了 2014-09-20 13:18:21
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Accession number: 20130515953020 Title: A multi-agent information retrieval system based on ontology Authors: Gao, Qian1 Email author gq@spu.edu.cn; Cho, Young-Im2 Email author ycho@suwon.ac.kr Author affiliation: 1 School of Information, Shandong Polytechnic University, 3501 University-ro, Changqing-gu, Jinan 250-353, China 2 College of Information Technology, University of Suwon, San 2-2, Bongdam-eup, Hwaseong-si, 445-743, Korea, Republic of Corresponding author: Gao, Q. (gq@spu.edu.cn) Source title: Advances in Intelligent Systems and Computing Abbreviated source title: Adv. Intell. Sys. Comput. Volume: 194 AISC Issue: VOL. 2 Monograph title: Intelligent Autonomous Systems 12 - Proceedings of the 12th International Conference, IAS 2012 Issue date: 2013 Publication year: 2013 Pages: 593-602 Language: English ISSN: 21945357 ISBN-13: 9783642339318 Document type: Conference article (CA) Conference name: 12th International Conference on Intelligent Autonomous Systems, IAS 2012 Conference date: June 26, 2012 - June 29, 2012 Conference location: Jeju Island, Korea, Republic of Conference code: 95157 Publisher: Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany Abstract: Traditional information retrieval systems are lack of semantic comprehension, and also have inherent ambiguity of short keyword queries. To solve this problem, this paper proposed a Multi-Agent Information Retrieval System based on Ontology. Introducing ontology to information retrieval system can realize knowledge domain-expression in order to provide users with the increment of information service and refine the initial query. Furthermore, group agent use improved collaborative information filtering algorithm to construct the group preference base equal to the compilations of all the term preference sets of the similar users served by personal agent, so as to accomplish the personalized information retrieval according to users' interest of the group preference base and rank the retrieval results by comprehensively considering of the users' preference about a certain theme and the frequency of the keywords of the retrieved document that appear in the relevant domain. © 2013 Springer-Verlag. Number of references: 4 Main heading: Information retrieval systems Controlled terms: Agents - Information services - Ontology - Semantics Uncontrolled terms: Collaborative information - Group agents - Keyword queries - Personal Agent - Personalized information retrieval - Query refinement - Retrieved documents - Semantic comprehension - Users' interests Classification code: 723 Computer Software, Data Handling and Applications - 723.5 Computer Applications - 803 Chemical Agents and Basic Industrial Chemicals - 903 Information Science DOI: 10.1007/978-3-642-33932-5_55 Database: Compendex Compilation and indexing terms, © 2014 Elsevier Inc. Full-text and Local Holdings Links Full Text Links |
3樓2014-09-19 18:36:57
小凡下山
鐵桿木蟲 (著名寫手)
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【答案】應(yīng)助回帖
★ ★ ★ ★ ★
lgvivian2011: 金幣+5, ★有幫助, 同樣感謝!!! 2014-09-20 13:18:52
lgvivian2011: 金幣+5, ★有幫助, 同樣感謝!!! 2014-09-20 13:18:52
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